Qureos Mentor

Innodata

<div>Job Title: Generative AI Associate - Red Teaming (English and Chinese)
Location: Fully Remote within the U.S. (excluding California, Washington, Alaska, Colorado, Montana, New York, Puerto Rico, Nevada, Nebraska, Pennsylvania)
Employment Type: Full Time, permanent (40 hours per week.)
Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years. 
About the Role:
At Innodata, we&rsquo;re working with the world&rsquo;s largest technology companies on the next generation of generative AI and large language models (LLMs). We&rsquo;re looking for smart, savvy, and curious Red Teaming Specialists to join our team.
This is the role that writers and hackers dream about: you&rsquo;ll be challenging the next generation of LLMs to ensure their robustness and reliability. We&rsquo;re testing generative AI to think critically and act safely, not just to generate content.
This isn&rsquo;t just a job: it&rsquo;s a once-in-a-lifetime opportunity to work on the frontlines of AI safety and security. There&rsquo;s nothing more cutting-edge than this. Joining us means becoming an integral member of a global team dedicated to identifying vulnerabilities and improving the resilience of AI systems. You&rsquo;ll be creatively crafting scenarios and prompts to test the limits of AI behavior, uncovering potential weaknesses and ensuring robust safeguards. You&rsquo;ll be shaping the future of secure AI-powered platforms, pushing the boundaries of what&rsquo;s possible. Keen to learn more? 
What You&rsquo;ll Be Doing:
As a Red Teaming Specialist on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. We&rsquo;re seeking self-motivated, clever, and creative specialists who can handle the speed required to be on the frontlines of AI security. In return, we&rsquo;ll be training you in cutting-edge methods of identifying and addressing vulnerabilities in generative AI. Below are some responsibilities and tasks of our Red Teaming Specialist role:<ul><li>
Complete extensive training on AI/ML, LLMs, Red Teaming, and jailbreaking, as well as specific project guidelines and requirements</li><li>
Craft clever and sneaky prompts to attempt to bypass the filters and guardrails on LLMs, targeting specific vulnerabilities defined by our clients</li></ul><ul><li>
Collaborating closely with language specialists, team leads, and QA leads to produce the best possible work</li><li>
Assist our data scientists to conduct automated model attacks</li><li>
Adapt to the dynamic needs of different projects and clients, navigating shifting guidelines and requirements</li><li>
Keep up with the evolving capabilities and vulnerabilities of LLMs and help your team&rsquo;s methods evolve with them</li><li>
Hit productivity targets, including for number of prompts written and average handling time per prompt</li></ul> 
Minimum Qualifications:<ul><li>
A Bachelor&rsquo;s degree or Associates degree with minimum 1 year of relevant industry experience. Advanced degrees are strongly preferred (Master&rsquo;s or PhD)</li><li>
Professional or Expert level proficiency (C1/C2) in English and Simplified Chinese
</li></ul>Strong understanding of grammar, syntax, and semantics &ndash; knowing what &quot;proper&rdquo; English rules are, as well as when to violate them to better test AI responses
Please note: As a Red Teaming Specialist, you&rsquo;ll push the boundaries of large language models and seek to expose their vulnerabilities. In this work, you may be dealing with material that is toxic or NSFW. Innodata is committed to the health of its workforce and so provides wellness resources and mental health support.
Salary Range: $52k-54k USD
Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.
We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace. We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate.
In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), we are committed to providing accommodations throughout the recruitment and selection process. If you require an accommodation, please let us know, and we will work with you to meet your needs.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission&rsquo;s guide at https://consumer.ftc.gov/articles/job-scams. 
If you believe you&rsquo;ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.</div>

Red Teaming Specialist - English and Chinese

<div>Job Title: Generative AI Specialist - Humanities (English and Russian)
Location: Fully Remote within the U.S. (excluding California, Washington, Alaska, Colorado, Montana, New York, Puerto Rico, Nevada, Nebraska)
Employment Type: Part-Time; up to 28 hours per week
Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 
Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years. 
About the Role:
At Innodata, we&rsquo;re partnering with the world&rsquo;s leading technology companies to build the future of generative AI and large language models (LLMs). We&rsquo;re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. 
This is not a traditional full-time role. It&rsquo;s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact&mdash;on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 
You&rsquo;ll be helping LLMs learn the intricacies of language and reasoning&mdash;not just how to write, but how to think. If you&rsquo;ve ever dreamed of shaping the intelligence behind tomorrow&rsquo;s technology, this is your chance. 
This is more than just a gig&mdash;it&rsquo;s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 
What You&rsquo;ll Be Doing:
Core tasks would include (any/multiple of) but not limited to the following:
<ul><li>Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
</li><li>Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.
</li><li>Classification: Assigning predefined categories or labels to items.
</li><li>Content Quality: Evaluating the perceived quality and/or appropriateness of content
</li><li>Content Understanding: Generating labels to advance understanding of a concept, trend etc.
</li><li>Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
</li><li>Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
</li><li>Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.</li><li>
Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.
</li><li>Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.
</li><li>Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
</li><li>Response Generation: Generating responses to prompts or questions using a language model or other AI system.
</li><li>Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
</li><li>Response Summarization: Producing concise summaries of longer pieces of text or data.
</li><li>Similarity Evaluation: Projects where content is compared in order to drive a determination.
</li><li>Transcription: Converting spoken language or audio content into written text.
</li><li>Translation: Converting text or spoken language from one language to another.
</li><li>Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.</li></ul> 
Minimum Qualifications:<ul><li>
A Bachelor&rsquo;s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master&rsquo;s or PhD)</li><li>
Professional or Expert level proficiency (C1/C2) in English and Russian</li></ul>
Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.
Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.
Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.
Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission&rsquo;s guide at https://consumer.ftc.gov/articles/job-scams. 
If you believe you&rsquo;ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.</div>

Generative AI Specialist - Humanities (English and Russian)

<div>Job Title: Generative AI Specialist - Humanities (English and Japanese)
Location: Fully Remote within the U.S. (excluding California, Washington, Alaska, Colorado, Montana, New York, Puerto Rico, Nevada, Nebraska)
Employment Type: Part-Time; up to 28 hours per week
Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. 
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. 
Our global workforce includes over 7,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years. 
About the Role:
At Innodata, we&rsquo;re partnering with the world&rsquo;s leading technology companies to build the future of generative AI and large language models (LLMs). We&rsquo;re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. 
This is not a traditional full-time role. It&rsquo;s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact&mdash;on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. 
You&rsquo;ll be helping LLMs learn the intricacies of language and reasoning&mdash;not just how to write, but how to think. If you&rsquo;ve ever dreamed of shaping the intelligence behind tomorrow&rsquo;s technology, this is your chance. 
This is more than just a gig&mdash;it&rsquo;s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. 
What You&rsquo;ll Be Doing:
Core tasks would include (any/multiple of) but not limited to the following:
<ul><li>Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
</li><li>Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole.
</li><li>Classification: Assigning predefined categories or labels to items.
</li><li>Content Quality: Evaluating the perceived quality and/or appropriateness of content
</li><li>Content Understanding: Generating labels to advance understanding of a concept, trend etc.
</li><li>Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
</li><li>Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
</li><li>Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.</li><li>
Preference Ranking: Ordering or ranking items based on a set of preferences or criteria.
</li><li>Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system.
</li><li>Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
</li><li>Response Generation: Generating responses to prompts or questions using a language model or other AI system.
</li><li>Response Rewrite: Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
</li><li>Response Summarization: Producing concise summaries of longer pieces of text or data.
</li><li>Similarity Evaluation: Projects where content is compared in order to drive a determination.
</li><li>Transcription: Converting spoken language or audio content into written text.
</li><li>Translation: Converting text or spoken language from one language to another.
</li><li>Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.</li></ul> 
Minimum Qualifications:<ul><li>
A Bachelor&rsquo;s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master&rsquo;s or PhD)</li><li>
Professional or Expert level proficiency (C1/C2) in English and Japanese</li></ul>
Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.
Innodata is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.
Innodata is committed to creating an inclusive environment for all employees and applicants. If you need assistance or accommodation during the application or recruitment process due to a disability, please contact us and we will be happy to assist.
Applicants must be legally authorized to work in the United States at the time of hire. Innodata is unable to provide visa sponsorship now or in the future for this position.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission&rsquo;s guide at https://consumer.ftc.gov/articles/job-scams. 
If you believe you&rsquo;ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.</div>

Generative AI Specialist - Humanities (English and Japanese)

<div>Who we are:
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are the AI technology solutions provider-of-choice to 4 out of 5 of the world&rsquo;s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we&rsquo;re helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 3,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We&rsquo;re poised for a period of explosive growth over the next few years.
About the Role
We are seeking a highly skilled, fast-moving Video Editor to produce short-form, high-impact videos that elevate Innodata&rsquo;s brand and generate demand. This contractor will transform product narratives, executive interviews, and subject matter expertise into compelling digital content optimized for YouTube and TikTok.
Key Responsibilities<ul><li>
Produce 30&ndash;90 second product videos explaining Innodata&rsquo;s AI, data engineering, and agentic evaluation capabilities</li><li>
Convert technical content into visually engaging, business-relevant narratives</li><li>
Create variations optimized for YouTube Shorts, TikTok, and LinkedIn</li></ul><ul><li>
Edit interviews with internal leaders and external subject matter experts</li><li>
Extract compelling sound bites and micro-content</li><li>
Add motion graphics, subtitles, charts, and branded visual elements</li></ul><ul><li>
Help launch and scale Innodata&rsquo;s YouTube and TikTok channels</li><li>
Develop repeatable visual formats and series concepts</li><li>
Optimize titles, descriptions, tags, thumbnails, and posting cadence</li></ul><ul><li>
Collaborate with demand generation to align video content with campaigns</li><li>
Produce gated and ungated video assets to support landing pages</li><li>
Track engagement metrics and recommend optimization strategies</li><li>
Position Target Deliverables:<ul><li>
8&ndash;12 short-form videos per month</li><li>
1&ndash;2 longer-form YouTube videos per month</li><li>
Consistent branded visual style guide</li><li>
Monthly analytics report (views, engagement, CTR, watch time)</li></ul></li></ul> 
<ul><li>
3+ years of professional video editing experience</li><li>
Proven experience creating short-form social video content</li><li>
Strong motion graphics and captioning skills</li><li>
Proficiency in Adobe Premiere Pro, After Effects, Final Cut, or equivalent</li><li>
Experience building or growing YouTube and/or TikTok channels</li><li>
Ability to translate technical B2B concepts into clear visual storytelling</li></ul>
Preferred Skills:
<ul><li>Experience in B2B SaaS, AI, or enterprise technology</li><li>
Familiarity with performance marketing and demand generation</li><li>
Basic understanding of SEO and platform algorithms</li></ul></div>

Video Editor (Production Focus)- Contract

Join Innodata and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Innodata

About Company

Red Teaming Specialist - English and Chinese

Generative AI Specialist - Humanities (English and Russian)

Generative AI Specialist - Humanities (English and Japanese)

Video Editor (Production Focus)- Contract